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10/10/2018
Fully Supervised Speaker Diarization
In this paper, we propose a fully supervised speaker diarization approac...
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07/24/2017
Exploring Neural Transducers for End-to-End Speech Recognition
In this work, we perform an empirical comparison among the CTC, RNN-Tran...
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05/25/2017
Principled Hybrids of Generative and Discriminative Domain Adaptation
We propose a probabilistic framework for domain adaptation that blends b...
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05/11/2017
Reducing Bias in Production Speech Models
Replacing hand-engineered pipelines with end-to-end deep learning system...
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05/05/2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
We present Deep Speaker, a neural speaker embedding system that maps utt...
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03/01/2017
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
Most existing sequence labelling models rely on a fixed decomposition of...
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03/31/2016
Learning Multiscale Features Directly From Waveforms
Deep learning has dramatically improved the performance of speech recogn...
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12/08/2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recogni...
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09/11/2014
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
In this paper, we propose multi-stage and deformable deep convolutional ...
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06/26/2014